Using genetics and social factors to predict opioid use disorder
Predictive Models for Opioid Use Disorder Using Genomic, Social, and Clinical Factors
This study is looking to help people at risk for opioid use disorder by using genetic and social information to create tools that can predict who might develop this condition, especially focusing on those from underrepresented groups.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-10930115 on NIH RePORTER |
What this research studies
This research aims to tackle the opioid crisis by developing predictive models for opioid use disorder (OUD) that incorporate genomic, social, and clinical factors. By utilizing the diverse AllOfUs database, the project will analyze genetic markers and other relevant data to identify individuals at risk for OUD. Machine learning techniques will be employed to create models that can classify risk levels, potentially leading to better prevention and treatment strategies. The study focuses on understanding how various factors contribute to OUD, especially in underrepresented populations.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals over 21 years old who may be at risk for opioid use disorder, particularly those with co-existing pain conditions.
Not a fit: Patients who are not at risk for opioid use disorder or those under 21 years old may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of opioid use disorder, enabling targeted interventions and improved patient outcomes.
How similar studies have performed: Previous research has shown promise in using machine learning and genomic data to predict various health outcomes, suggesting that this approach could be effective for opioid use disorder as well.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Gabriel, Rodney Allanigue — University of California, San Diego
- Study coordinator: Gabriel, Rodney Allanigue
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.